An accurate computer-assisted method to perform segmentation of brain tumor on apparent
diffusion coefficient (ADC) images and evaluate its grade (malignancy state) has been …

Robust brain magnetic resonance (MR) segmentation algorithms are critical to analyze
tissues and diagnose tumor and edema in a quantitative way. In this study, we present a …

Background There is an increasing demand for noninvasive brain tumor biomarkers to guide
surgery and subsequent oncotherapy. We present a novel whole-brain diffusion tensor …

Background Diffusion-weighted (DW) imaging is a well-recognized magnetic resonance
imaging (MRI) technique that is being routinely used in brain examinations in modern …

The brain is one of the most complex organs in the body, composed of billions of cells that
work together to ensure proper functioning. However, when cells divide in a disorderly …

Brain tumors in Magnetic resonance image segmentation is challenging research. With the
advent of a new era and research into machine learning, tumor detection and segmentation …

Objective To provide an improved method for the identification and analysis of brain tumors
in MRI scans using a semi-automated computational approach, that has the potential to …

Purpose The brain tumor grows inside the skull and interposes with regular brain
functioning. The tumor growth may possibly result in cancer at a later stage. The early …

This paper presents an automatic segmentation of brain lesions from diffusion-weighted
imaging (DWI) using Fuzzy C-Means (FCM) algorithm. The lesions are acute stroke, tumour …

Brain tumour segmentation in medical images is a very challenging task due to the large
variety in tumour shape, position, appearance, scanning modalities and scanning …